E-GEOD-56643
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA244152PRJNA244151
PROVIDER: E-GEOD-56643 | ExpressionAtlas | 2015-09-07
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:We have completed the high quality reference genome for domestic sheep (Oar v3.1) and performed a detailed survey of gene expression across different tissues. RNA-seq data of 7 tissue types from the reference female Texel and skin tissue from a Gansu alpine fine wool sheep were sequenced. Here is the part of the RNA-seq data sequenced in BGI, including 7 tissue types from the reference female Texel and skin type from a Gansu alpine fine wool sheep.
2014-06-06 | E-GEOD-56643 | biostudies-arrayexpress
Project description:We have completed the high quality reference genome for domestic sheep (Oar v3.1) and performed a detailed survey of gene expression across different tissues. RNA-seq data of 7 tissue types from the reference female Texel and skin tissue from a Gansu alpine fine wool sheep were sequenced.
2014-06-06 | GSE56643 | GEO
Project description:This study seeks to undertake an assessment of the effects of prenatal exposure of female sheep to excess testosterone, the estrogen precursor, in four different adipose depots. The depots investigated are subcutaneous adipose tissue (SAT) - a fat beneath the skin storing >80% of total body fat in the human body, visceral adipose tissue (VAT) - an intra-abdominal fat primarily associated with digestive system organs, and smaller depots such as epicardial adipose tissue (ECAT) and perirenal adipose tissue (PRAT) that serve specialized functions associated with the organs/tissues in their proximity. The goals are to 1) determine gene expression and gene network profiles in the depots; 2) assess prenatal T-treatment induced disruptions in adipose depot-specific gene expression and gene networks; and 3) identify common and divergent gene and gene pathways underlying depot-specific disruption in prenatal T-treated female sheep.
2020-12-30 | GSE158436 | GEO
Project description:The fungal skin disease chytridiomycosis has caused the devastating decline and extinction of hundreds of amphibian species globally, yet the potential for evolving resistance, and the underlying pathophysiological mechanisms remain poorly understood. We exposed 406 naïve, captive-raised alpine tree frogs (Litoria verreauxii alpina) to the aetiological agent Batrachochytrium dendrobatidis in two concurrent and controlled infection experiments. We investigated (A) survival outcomes and clinical pathogen burdens between populations and clutches, and (B) individual host tissue responses to chytridiomycosis. Here we present multiple interrelated datasets associated with these exposure experiments, including animal signalment, survival and pathogen burden of 355 animals from Experiment A, and the following datasets related to 61 animals from Experiment B: animal signalment and pathogen burden; raw RNA-Seq reads from skin, liver and spleen tissues; de novo assembled transcriptomes for each tissue type; raw gene expression data; annotation data for each gene; and raw metabolite expression data from skin and liver tissues. These data provide an extensive baseline for future analyses.
2018-01-09 | MTBLS457 | MetaboLights
Project description:This study seeks to assess the effects of prenatal exposure of female sheep to execessive testosterone in metabolically relevant liver and muscle tissue. The goals are to 1) determine noncoding RNA in the control animals and 2) assess the effects of prenatal T-treatment on non-coding RNA. 3) Finally identify putative ncRNA-totalRNA interactions.
2021-10-31 | GSE178775 | GEO
Project description:To investigate the differentiative fate of human PLCs following transplantation into fetal sheep and engraftment in various tissues/organs, we performed gene expression profiling analysis using data obtained from RNA-seq of human PLCs prior to in utero transplantation and of each engrafted fetal sheep tissue after filtering to remove any cross-reactivity with orthologous sheep transcripts
2023-06-01 | GSE230081 | GEO
Project description:Uhlén2015 - Human tissue-based proteome metabolic network - skin
Human skin specific proteome metabolic network
This model is described in the article:
Tissue-based map of the human proteome
Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edllund K, Lundberg E, Navani S, Szigyarto AC, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist P, Berlin H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F.
Science 2015 January; 347(6220)
Abstract:
Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray–based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
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MODEL1411240022.
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2015-01-28 | MODEL1411240022 | BioModels
Project description:RNA-seq of coding RNA from seven Bos taurus tissues.
2019-05-15 | E-MTAB-2596 | ExpressionAtlas
Project description:<p>The Finland-United States Investigation of NIDDM Genetics (FUSION) study is a long-term effort to identify genetic variants that predispose to type 2 diabetes (T2D) or that impact the variability of T2D-related quantitative traits (QTs). Skeletal muscle and adipose are major insulin target tissues and play key roles in insulin resistance. We hypothesize that a subset of T2D and related QT variants alter gene expression in skeletal muscle and adipose tissue. For this FUSION Tissue Biopsy Study, we have obtained and are analyzing RNA-Seq, microRNA (miRNA)-Seq, and DNA methylation (methyl)-Seq data on biopsy samples from 331 individuals from across the range of glucose tolerance: 124 normal glucose tolerance (NGT), 77 impaired glucose tolerance (IGT), 44 impaired fasting glucose (IFG), and 86 newly-diagnosed T2Ds. Participants completed two study visits, two weeks apart. First visits comprised most of the clinical phenotyping, including four-point OGTT (fasting, and 30, 60, and 120 minute post-load); BMI, WHR; lipids; blood pressure; and many other variables. Participants also completed FUSION health history, medication, and lifestyle questionnaires. At second visit, we obtained ~250mg <i>vastus lateralis</i> skeletal muscle, ~750mg abdominal subcutaneous adipose, and a ~5x15mm section of abdominal skin. Visits were completed in March 2013. RNA isolation is ongoing in the Collins laboratory at the NIH, RNA and miRNA sequencing at the NIH Intramural Sequencing Center (NISC), and genotyping at the Center for Inherited Disease Research (CIDR). Individual-level data is available here for the 306 individuals who consented to data deposit.</p> <p>To focus on evaluation of gene expression and its regulation in skeletal muscle, we analyzed mRNA extracted from <i>vastus lateralis</i> skeletal muscle obtained from 271 of the 331 individual subjects from Finland, along with genome-wide genotypes. Individual-level data is available here for the 250 subjects who reconsented to the use of their data. Release phs001048.v2.p1 adds muscle data for an additional 42 subjects and data from adipose tissue for 276 subjects. Total RNA was isolated using Trizol extraction in the Collins laboratory at the NIH. The mRNA was poly-A selected, 24-plex libraries were generated using the Illumina TruSeq directional mRNA-seq library protocol and RNA sequencing was performed on HiSeq2000 sequencers using 101bp paired-end reads at NISC. miRNA libraries were prepared from total RNA from 296 muscle and 270 adipose samples, pooled and sequenced 50bp single-end reads on Illumina HiSeq2500. Data for 272 muscle and 251 adipose samples are available here for individuals with consent for data deposit. DNA was extracted from blood in the Collins laboratory, and genotyping on the Illumina Omni2.5M array was performed at CIDR. Genotypes were imputed using the HRC 2016 reference panel. In order to assess regions of open chromatin in skeletal muscle, we obtained muscle tissue from a commercial provider to perform ATAC-seq; these samples were sequenced at the University of Michigan DNA Sequencing Core.</p> <p>Greater than 90% of the approximately 80 loci associated with T2D and the 100s of loci associated with T2D-related traits (glucose and insulin, anthropometrics, lipids) through genome-wide association studies occur in non-coding regions, suggesting a strong regulatory component to disease susceptibility. Regulatory element activity is often tissue-specific, which further complicates discovery of the causal/functional variation. Therefore, there is a critical need to understand the full spectrum of genetic variation and regulatory element usage in T2D-relevant tissues. To that end, this study contains whole genome sequence and whole genome bisulfite sequence, and/or Illumina MethylationEPIC Array data, of two tissues relevant to T2D: skeletal muscle and adipose tissue from individuals with glucose tolerance categories ranging from normal to T2D, providing a comprehensive survey of both individual genetic variation as well as DNA methylation across different tissues from multiple individuals.</p>
| phs001048 | dbGaP